Influences of sand cover on erosion processes of loess slopes based on rainfall simulation experiments

Aeolian-fluvial interplay erosion regions are subject to intense soil erosion and are of particular concern in loess areas of northwestern China.Understanding the composition,distribution,and transport processes of eroded sediments in these regions is of considerable scientific significance for controlling soil erosion.In this study,based on laboratory rainfall simulation experiments,we analyzed rainfall-induced erosion processes on sand-covered loess slopes(SS)with different sand cover patterns(including length and thickness)and uncovered loess slopes(LS)to investigate the influences of sand cover on erosion processes of loess slopes in case regions of aeolian-fluvial erosion.The grain-size curves of eroded sediments were fitted using the Weibull function.Compositions of eroded sediments under different sand cover patterns and rainfall intensities were analyzed to explore sediment transport modes of SS.The influences of sand cover amount and pattern on erosion processes of loess slopes were also discussed.The results show that sand cover on loess slopes influences the proportion of loess erosion and that the compositions of eroded sediments vary between SS and LS.Sand cover on loess slopes transforms silt erosion into sand erosion by reducing splash erosion and changing the rainfall-induced erosion processes.The percentage of eroded sand from SS in the early stage of runoff and sediment generation is always higher than that in the late stage.Sand cover on loess slopes aggravates loess erosion,not only by adding sand as additional eroded sediments but also by increasing the amount of eroded loess,compared with the loess slopes without sand cover.The influence of sand cover pattern on runoff yield and the amount of eroded sediments is larger than that of sand cover amount.Furthermore,given the same sand cover pattern,a thicker sand cover could increase sand erosion while a thinner sand cover could aggravate loess erosion.This difference explains the existence of intense erosion on slopes that are thinly covered with sand in regions where aeolian erosion and fluvial erosion interact.     

Projections of temperature extremes based on preferred CMIP5 models:a case study in the Kaidu-Kongqi River basin in Northwest China

The extreme temperature has more outstanding impact on ecology and water resources in arid regions than the average temperature. Using the downscaled daily temperature data from 21 Coupled Model Inter-comparison Project(CMIP) models of NASA Earth Exchange Global Daily Downscaled Projections(NEX-GDDP) and the observation data, this paper analyzed the changes in temporal and spatiotemporal variation of temperature extremes, i.e., the maximum temperature(Tmax) and minimum temperature(Tmin), in the Kaidu-Kongqi River basin in Northwest China over the period 2020–2050 based on the evaluation of preferred Multi-Model Ensemble(MME). Results showed that the Partial Least Square ensemble mean participated by Preferred Models(PM-PLS) was better representing the temporal change and spatial distribution of temperature extremes during 1961–2005 and was chosen to project the future change. In 2020–2050, the increasing rate of Tmax(Tmin) under RCP(Representative Concentration Pathway) 8.5 will be 2.0(1.6) times that under RCP4.5, and that of Tmin will be larger than that of Tmax under each corresponding RCP. Tmin will keep contributing more to global warming than Tmax. The spatial distribution characteristics of Tmax and Tmin under the two RCPs will overall the same; but compared to the baseline period(1986–2005), the increments of Tmax and Tmin in plain area will be larger than those in mountainous area. With the emission concentration increased, however, the response of Tmax in mountainous area will be more sensitive than that in plain area, and that of Tmin will be equivalently sensitive in mountainous area and plain area. The impacts induced by Tmin will be universal and farreaching. Results of spatiotemporal variation of temperature extremes indicate that large increases in the magnitude of warming in the basin may occur in the future. The projections can provide the scientific basis for water and land plan management and disaster prevention and mitigation in the inland river basin.     

基于SD变化环境下农业水资源供需平衡模拟

为了探讨变化环境对农业水资源供需平衡的影响,运用系统动力学软件Vensim-Dss建立了农业水资源供需平衡的系统动力学模型,综合考虑社会经济发展和气候变化情景,仿真模拟了变化环境下农业供、需水量及缺水量的变化情况.石羊河流域模拟结果表明:未来农业供水量和需水量受气候变化的影响程度不同,但 2033年以后,农业供水量在不同气候变化情景下的变化趋势相同;不同行政区农业水资源系统对气候变化的响应存在明显差异,金昌市A2气候情境缺水率大于B2情景,在2029年、2038年缺水率分别达到32.0%,28.6%, B2情境下,2021年开始出现轻度缺水,中度缺水年仅出现在2023年和2039年,缺水率分别为30.7%,30.5%;武威市A2气候情境下缺水率小于B2情景,仅2038年为中度缺水,缺水率为24.9%,B2气候情景中度缺水年较多,2023年缺水率最大,达到33.2%.研究结果可以对变化环境下区域用水规划和农业发展规划提供指导.     

明清时期西辽河地区农业开发的动力与制约因素

在辽金元农业开发的基础上,明清时期西辽河地区农业开发取得了很大进步。农业发展有利于维护西辽河地区乃至边疆地区的稳定,良好的农业开发环境促进了西辽河地区经济繁荣。明清两代非常重视农业,大力支持西辽河地区的农业开发,给予西辽河地区农业生产资料,加之其他政策的实行、农业生产技术的传授、高产耐旱粮食作物的栽培和驿站、桥梁的建设等,使西辽河地区的农业开发成果颇丰,至清代更加显著。自然灾害等成为制约农业开发的主要因素。本文在前人研究的基础上,对西辽河地区农业开发的动力与制约因素做出了进一步讨论。     

黄河源区"黑土滩"退化草地群落类型多样性及其群落结构研究

调查了黄河源区高寒草甸极度退化产物“黑土滩”植被群落类型多样性及其群落结构特征。结果表明,分布在黄河源区高寒草甸上的“黑土滩”草地植被可分为7个类型,分别为:黄帚橐吾 铁棒棰群落、白苞筋骨草群落、铁棒棰群落、西伯利亚蓼 鹅绒委陵菜群落、摩苓草群落、甘青微孔草群落和甘肃马先蒿群落。从群落结构和已有的研究结果看,黄河源区所有类型的“黑土滩”草地都完全失去了牧用价值,短期内自然恢复的物质基础也已丧失,该类草地的恢复治理必须通过人工植被的重建来实现。     

滦河水混凝特性的试验研究

针对滦河水的水质特点 ,分三个水质时期分别进行了混凝小试、不同预处理条件下的中试试验 ,以运行成本、处理水质为前提 ,得出了不同水质时期的建议处理方式 :低温低浊期、常温常浊期采用预加氯工艺 ,高温高藻期使用预臭氧+活性炭工艺.     

引江济汉工程起始段面源污染现状及防治对策

指出了防治面源污染是保护水源地的重要措施。对引江济汉工程起始段面源污染现状进行了调查分析,结果表明:引江济汉工程运行后,农田面积减少了40%,其中部分农田改为蔬菜等经济作物用地;化肥使用总量下降了41.7%,农药的使用总量也呈相同趋势下降,但农用地的平均化肥、农药使用量未发生显著变化,工程前后基本持平;区内水渠、沟渠阻塞严重,配套基础水利设施匮乏,灌溉条件差,地表径流与灌溉用水任意流失,面源污染的潜在威胁大,急需采取有针对性的治理措施。有针对性地提出了面源污染防治对策建议。     

基于"量-质-域-流"四维指标体系的水资源荷载状况评价——以黑河流域三地市为例

随着社会经济用水不断增加，水资源供需矛盾加剧，水资源系统出现荷载不均衡现象，制约了区域发展，危及生态环境良性循环。本文从水资源系统的负荷需求和承载能力出发，基于“量、质、域、流”四个维度构建水资源荷载均衡评价指标体系，采用指标规范化的正态云模型，评价2015年黑河流域张掖市、酒泉市、阿拉善盟水资源配置方案的荷载均衡状况，并依据负荷与承载能力评分二维坐标，分出低负荷-高承载能力、低负荷-低承载能力、高负荷-高承载能力和高负荷-低承载能力四个分区。评价结果表明：2015年三地水资源荷载状况均为Ⅳ级，张掖市综合评分为3.697，酒泉市为3.657，阿拉善盟为3.901，三地均处于高负荷-低承载能力区域；三地在水质维度上处于低负荷-高承载能力区间，水质维度评分均处于Ⅱ级，酒泉市水质评分优于张掖市，张掖市水质评分优于阿拉善盟；在水量、水域、水流维度上均处于高负荷-低承载能力区间，水量方面三地处于Ⅳ级，张掖市优于酒泉市，酒泉市优于阿拉善盟；水域方面张掖和阿拉善盟评分均处于Ⅴ级，酒泉评分处于Ⅳ级；水流方面三地均处于Ⅴ级。需要采取调控手段在水量、水域、水流方面上进行“增强承载”和“卸荷”。     

Spatial and temporal variation in otolith chemistry and its relationship with water chemistry: Stock discrimination of Sperata aor

Long‐whiskered catfish, Sperata aor (Hamilton 1822), is commercially important in food, ornamental and sport fisheries. The fish is mainly caught from the wild populations because its aquaculture practices are not commercialised. Inland fishery in the Ganga basin is mostly unorganised; hence, no published report is available on the trend of S. aor production from the selected habitat. In India, S. aor has been categorised vulnerable mainly due to natural and anthropogenic threats. Otolith chemistry shows variation with changing physico‐chemical conditions of the fish habitat. Therefore, the present study was conducted with the objective to analyse spatio‐temporal variations in water chemistry in relation to environmental factors; relationship between water and otolith chemistry; and spatio‐temporal variations in otolith chemistry to discriminate the stocks of S. aor inhabiting the River Ganga. Most of the element: Ca ratios in water samples did not show significant correlations with environmental factors, viz. temperature and conductivity. Only few element: Ca concentrations in otoliths were positively correlated to their corresponding ratios in the ambient water. In the selected study area, the S. aor populations were discriminated into four stocks possibly because of heterogeneous water chemistry at the sampling sites, and physical barriers. In the present study, otolith chemistry showed relatively low temporal variability as compared to spatial variability; thus, the classification accuracy of individuals to their original populations remained consistent over the selected time period. The findings could be useful in devising scientifically sound management strategies and/or any conservation plans for the vulnerable S. aor populations inhabiting the River Ganga.     

淮河上游冬小麦生长关键期旱涝灾害阈值研究

利用淮河上游地区1961-2015年13个气象站逐日降水数据,计算冬小麦生长关键期(2、3、4月)1个月尺度及3个月尺度SPI值,结合冬小麦产量数据,确定生长关键期对产量灾损率影响的具体时段,在此基础上分析了降水量变化及旱涝灾害空间分布,建立了SPI值与产量灾损率之间的定量关系。结果表明,(1)生长关键期(SPI3)和4月(SPI1_4)SPI值均与产量灾损率相关性程度高,分别通过0.01和0.05显著性水平检验;2个时段降水量变化整体呈减少趋势,且旱涝灾害空间分布存在一定的差异;(2)当SPI3值和SPI1_4值分别为-2.23和-1.82时,达到决定发生旱灾时产量灾损的阈值;(3)SPI3值和SPI1_4值与产量灾损率相关系数分别为0.94和0.82,在典型涝灾年,SPI值与产量灾损率具有线性关系。